10x Xenium
Human urinary bladder
GSM9625560
silver Interactive viewer urinary bladder carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 13766, 28450), (1, 6883, 14225), (1, 3441, 7112), (1, 1720, 3556), (1, 860, 1778)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (10829, 25651), (5414, 12825), (2707, 6412), (1353, 3206), (676, 1603)
│ └── 'nucleus_labels': DataTree[yx] (10798, 25620), (5399, 12810), (2699, 6405), (1349, 3202), (674, 1601)
├── Points
│ └── 'transcripts': DataFrame with shape: (23113582, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (22095, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (22095, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (21770, 2) (2D shapes)
└── Tables
└── 'table': AnnData (22095, 5001)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("dNHpHCLZe0xq18v5") # latest version
sdata = artifact.load() # cache, then load into memory
group = artifact.open() # stream without downloading
path = artifact.cache() # sync into the local cache, returns the path Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/dNHpHCLZe0xq18v5
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid dNHpHCLZe0xq18v5 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["dNHpHCLZe0xq18v50000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- urinary bladder
- Condition
- urinary bladder carcinoma
- Modality
- RNA
- Observations
- 22,095
- Transcripts
- 23,113,582
- Tier
- silver
- Size
- 737 MB
- Sample ID
- GSM9625560
- License
- unknown
- Published
- May 5, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB